'Group average' presentation slideshows

Unsupervised learning & Cluster Analysis: Basic Concepts and Algorithms

Unsupervised learning & Cluster Analysis: Basic Concepts and Algorithms. Assaf Gottlieb. Some of the slides are taken form Introduction to data mining, by Tan, Steinbach, and Kumar. What is unsupervised learning & Cluster Analysis ?.

1.36k views • 92 slides

DATA MINING LECTURE 7

DATA MINING LECTURE 7. Hierarchical Clustering, DBSCAN The EM Algorithm. CLUSTERING. Inter-cluster distances are maximized. Intra-cluster distances are minimized. What is a Clustering ?.

706 views • 63 slides

Cluster Analysis: Basic Concepts and Algorithms

Cluster Analysis: Basic Concepts and Algorithms. Jieping Ye Department of Computer Science & Engineering Arizona State University. Source: Introduction to data mining, by Tan, Steinbach, and Kumar . Outline of lecture. What is cluster analysis? Clustering algorithms

1.62k views • 45 slides

Stepping Stones to Using Data

Stepping Stones to Using Data.

489 views • 38 slides

STATE ASSESSMENTS UPDATE

STATE ASSESSMENTS UPDATE. Goose Creek CISD Principal Academy August 6, 2012. High School Performance. TAKS PERFORMANCE GRADE 10. GAP = The difference in the GCCISD highest student group average compared to each district student group average. TAKS PERFORMANCE GRADE 11.

459 views • 37 slides

Clustering

Clustering. Ram Akella Lecture 6 February 23, 2011 1290& 280I University of California Berkeley Silicon Valley Center/SC. Class Outline. Clustering Introduction Mechanics Recommender Systems. Inter-cluster distances are maximized.

455 views • 34 slides

Clustering (2)

Clustering (2). Hierarchical Clustering. Produces a set of nested clusters organized as a hierarchical tree Can be visualized as a dendrogram A tree like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering.

508 views • 33 slides

Clustering (2)

Clustering (2). Hierarchical Clustering. Produces a set of nested clusters organized as a hierarchical tree Can be visualized as a dendrogram A tree like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering.

336 views • 33 slides

Comparing Clustering Algorithms

Comparing Clustering Algorithms. Partitioning Algorithms K-Means DBSCAN Using KD Trees Hierarchical Algorithms Agglomerative Clustering CURE. K-Means Partitional clustering. Prototype based Clustering O(I * K * m * n) Space Complexity

743 views • 31 slides

CSE 980: Data Mining

CSE 980: Data Mining. Lecture 16: Hierarchical Clustering. Hierarchical Clustering. Produces a set of nested clusters organized as a hierarchical tree Can be visualized as a dendrogram A tree like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering.

411 views • 29 slides

Hierarchical Clustering

Hierarchical Clustering. Produces a set of nested clusters organized as a hierarchical tree Can be visualized as a dendrogram A tree like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering. Do not have to assume any particular number of clusters

540 views • 27 slides

Group Polarization

Group Polarization. September 14, 2006. Adding the Element of Interaction. Groups interact with one another to make judgments and decisions. E.g. Juries, Top Management Teams, Presidential Cabinets. Key Questions: How judgments made by individuals compare to judgments made by a group?

1.04k views • 26 slides

National Benchmarking Project

359 views • 24 slides

Better Online Storytelling Roger Burks, Mercy Corps rburks@mercycorps

Better Online Storytelling Roger Burks, Mercy Corps rburks@mercycorps.org 2009 Nonprofit Technology Conference San Francisco, California April 27, 2009. Why is writing important to our organizations? To engage our constituents and attract donors To inform of news and events

304 views • 23 slides

DATA OVERLOAD

DATA OVERLOAD. Presented by Victor Vella Ecommerce Director Spitzer Auto Group Digital Dealer 13 Oct. 25 2012. What is Data Overload?. SRP/ VDP Google Analytics SEM AutoTrader.com vAuto Cars.com Social Media Online Reviews Phone Call Tracking

452 views • 22 slides

Performance-Based Compensation

448 views • 13 slides

ProQuest Dissertation Dashboard CNI, December 2013 Austin McLean, ProQuest

298 views • 12 slides

Performance in Groups

Performance in Groups. Outline. Types of tasks Additive Compensatory Disjunctive Conjunctive Discretionary. Additive. When all group members perform the same job and group performance is a sum of individual performance Examples: Stuffing envelopes, relay race, brainstorming.

338 views • 9 slides